{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b8a26f94",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1b8c6473",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='5 层叠柱形图',usecols=\"B,C,D\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e5e5bb71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = data['季度']\n",
    "values1 = data['销售额']\n",
    "values2 = data['利润额']\n",
    "\n",
    "# 设置柱状图的宽度和偏移量\n",
    "bar_width = 0.25\n",
    "bar_offset = bar_width / 2  # 偏移量是柱状图宽度的一半，以便清晰地分开各组\n",
    "\n",
    "# 设置x轴的位置\n",
    "index = np.arange(len(categories))\n",
    "\n",
    "# 创建图形和轴\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 绘制分组柱状图\n",
    "bar1 = ax.bar(index - bar_offset, values1, bar_width, label='销售额', color='skyblue', bottom=0)\n",
    "bar2 = ax.bar(index, values2, bar_width, label='利润额', color='lightgreen', bottom=0)\n",
    "\n",
    "# 添加图例\n",
    "ax.legend()\n",
    "\n",
    "# 设置x轴和y轴的标签\n",
    "ax.set_title('2021年至今季度销售额(万)和利润额(万)')\n",
    "\n",
    "# 设置x轴的刻度\n",
    "ax.set_xticks(index - bar_offset + bar_width / 2)  # 将刻度设置在每组的中间位置\n",
    "ax.set_xticklabels(categories)\n",
    "\n",
    "for a,b in zip(index - bar_offset,values1):   #柱子上的数字显示\n",
    "    plt.text(a,b,'%.2f'%b,ha='center',va='bottom',fontsize=9);\n",
    "\n",
    "for a,b in zip(index - bar_offset + bar_width ,values2):   #柱子上的数字显示\n",
    "    plt.text(a,b,'%.2f'%b,ha='center',va='bottom',fontsize=9);\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  }
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